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590 Demnitzer Mühlenfließ am Nordrand von Demnitz, IGB-Messstelle 31

Title
Demnitzer Mühlenfließ am Nordrand von Demnitz, IGB-Messstelle 31
Description
Species Groups
Study site
Demnitzer Mühlenfließ, Einzugsgebiet
Sampling locations
Demnitzer Mühlenfließ am Nordrand von Demnitz, IGB-Messstelle 31
location
52.388887, 14.199691
location
Parameters

physics:

water temperature
name
water temperature
description

Wassertemperatur

synonyms
water temp, Wassertemperatur

chemistry:

dissolved silica
name
dissolved silica
description

dissolved silica

electrical conductivity
name
electrical conductivity
synonyms
elektrische Leitfähigkeit, Salinität, Salzgehalt, Konduktivität, cond
nitrate
name
nitrate
oxygen concentration
name
oxygen concentration
synonyms
Sauerstoffkonzentration
oxygen saturation
name
oxygen saturation
synonyms
Sauerstoffsättigung
pH
name
pH
soluble reactive phosphorus
name
soluble reactive phosphorus
description

IGB Methodendatenbank:

http://intranet.igb-berlin.de/methodendetails/items/75.html

synonyms
anorganischer gelöster Phosphor, ortho-Phosphat-P, DRP, DIP, inorganic soluble phosphorus
total phosphorus
name
total phosphorus
total sulfur
name
total sulfur
description

Total Sulfur (TS) stands for the sum parameter of all organic and inorganic sulfur compounds.

synonyms
gesamt Schwefel
Contact
Jörg Gelbrecht
Licence for data
All rights reserved. Please send a request to Jörg Gelbrecht if you like to use this data. Mind our data policy: IGB Data Policy
Project

Machine Readable Metadata Files

FRED provides all metadata of this package in a maschine readable format. There is a pure XML file and one EML file in Ecological Metadata Language. Both files are published under the free CC BY 4.0 Licence.

  • _Demnitzer_Mühlenfließ_am_Nordrand_von_Demnitz,_IGB-Messstelle_31_.xml
  • _Demnitzer_Mühlenfließ_am_Nordrand_von_Demnitz,_IGB-Messstelle_31_.eml

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Parsing data File

Estimated Time:

Why does it take so much time?

While parsing a file, the database has to perform various tasks, some of them needs a lot of CPU and memory for larger files.

  • preprocessing: means automatic detection of headlines, table body, format values or csv-separators
  • copying: means read the file cell by cell and copy all elements to the database. During this format settings can be calculated (for example iso-time)
  • analyzing: check out for different data types (can be time, numeric or text)